Using Python and Fabric for analyzing brain signals on OSG connect

Scott ColeNeurosciences Graduate Program

UC San Diego

Outline● Brain rhythms

● Running python on OSG

Large-scale brain recordings

● Healthy humans● Patients● Animals

● Sampling: 500-30000 Hz● Duration: 1 hour - 1 week● Channels: 1 - 250+● Several GB per subject

Neural oscillations (a.k.a. Brain rhythms)

Fourier Transform-based analysis

Fourier Transform-based analysis

Custom analysis in Python

1. Clone tutorial (.py, .sh, & .submit) from GitHub

2. Create python virtual environment

3. Transfer input data to Stash

4. Compress personal libraries

5. Submit job

6. Transfer output and plot results

Steps 1-6 with Fabric

NOTE:Not Python 3 compatible

1. Prepare files (clone repo)2. Create virtual environment3. Transfer input data4. Prepare (compress) local libraries5. Submit job6. Transfer output data

Summary

San Diego Union-Tribune

Thank you

scott.cole0@gmail.com